Member | Pangaea X Community

Recommendations for Online Courses to Learn SQL, Excel, Tableau, and Python

Hi everyone,I’m considering to make a career change into data analysis and recently completed the Google Data Analytics Certificate on Coursera. While it was a solid introduction, I found that it didn’t go very in-depth on tools like SQL, Excel, Tableau, or R. My Coursera membership has expired. While I am open to signing up(Read More)

Hi everyone,
I’m considering to make a career change into data analysis and recently completed the Google Data Analytics Certificate on Coursera. While it was a solid introduction, I found that it didn’t go very in-depth on tools like SQL, Excel, Tableau, or R.

My Coursera membership has expired. While I am open to signing up again I was curious if there are other websites you would recommend instead? I know its free on Youtube but I prefer a more structure learning course.

Thank you for any help you can provide!

Last reply by prathap. 0 8 200 4 months ago

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Kashish Matta

October 17, 2025

What’s the hardest part of applying machine learning to real data?

We often hear about ML models achieving amazing accuracy in research papers or demos. But in the real world, things aren’t so simple. Data can be messy, incomplete, or biased. Features that seem obvious may not capture the underlying patterns. Sometimes even small errors in labeling can completely change model outcomes. How did you approach(Read More)

We often hear about ML models achieving amazing accuracy in research papers or demos. But in the real world, things aren’t so simple. Data can be messy, incomplete, or biased.

Features that seem obvious may not capture the underlying patterns. Sometimes even small errors in labeling can completely change model outcomes.

How did you approach them, and what lessons did you learn? Sharing your experiences can help the community avoid common pitfalls and discover better strategies for practical machine learning.

Last reply by Maitrik. 0 2 73 3 weeks ago

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Miley

October 10, 2025

How do you ensure your data reports tell the right story rather than just present numbers?

Data reporting isn’t just about showing charts, tables, or metrics it’s about translating data into insights that drive action. A report full of accurate numbers can still fail if it’s confusing, lacks context, or doesn’t highlight the key takeaways for decision-makers. Effective reporting combines clarity, visualization, and storytelling. It considers the audience, focuses on actionable(Read More)

Data reporting isn’t just about showing charts, tables, or metrics it’s about translating data into insights that drive action.

A report full of accurate numbers can still fail if it’s confusing, lacks context, or doesn’t highlight the key takeaways for decision-makers.

Effective reporting combines clarity, visualization, and storytelling. It considers the audience, focuses on actionable insights, and emphasizes trends and patterns rather than just raw data.

By sharing your approach to creating impactful reports, the community can learn techniques for presenting data that is not only accurate but also meaningful, persuasive, and aligned with business goals.

Last reply by Maitrik. 0 1 76 3 weeks ago

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Shahir

October 10, 2025

What’s the most surprising insight you’ve discovered from data that changed a decision?

Data analysts are often at the crossroads of numbers and narratives. Every dataset has stories waiting to be discovered, but it’s not just about charts or reports it’s about the insights that drive meaningful change. We want to hear from you: the moments when your analysis revealed something surprising, counterintuitive, or game-changing. Whether it was(Read More)

Data analysts are often at the crossroads of numbers and narratives. Every dataset has stories waiting to be discovered, but it’s not just about charts or reports it’s about the insights that drive meaningful change. We want to hear from you: the moments when your analysis revealed something surprising, counterintuitive, or game-changing.

Whether it was spotting a hidden trend, correcting a misconception, or uncovering a customer behavior that reshaped a strategy, your experiences can inspire and teach the community. Share the context, the data challenge, and the insight that made all the difference. Let’s celebrate the power of analysis and the impact data professionals have behind the scenes!

0 0 74 3 weeks ago

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Maitrik

October 10, 2025

What’s the biggest challenge you face when collecting data?

Data collection is often the foundation of any successful data project, yet it’s one of the most overlooked and challenging stages. Real-world data is rarely clean or complete information can be scattered across multiple sources, inconsistent, or even contradictory. Privacy regulations and compliance requirements can further complicate the process, making it difficult to gather the(Read More)

Data collection is often the foundation of any successful data project, yet it’s one of the most overlooked and challenging stages.

Real-world data is rarely clean or complete information can be scattered across multiple sources, inconsistent, or even contradictory.

Privacy regulations and compliance requirements can further complicate the process, making it difficult to gather the data you need without breaking rules.

Even small issues, like missing values or incorrect formats, can cascade into major problems down the line, affecting model performance and decision-making.

That’s why finding reliable strategies for collecting, validating, and managing data is so important.

We’d love to hear from you: how do you ensure the quality and consistency of your data during collection?